[Télécharger] Modern Statistics for Modern Biology de Susan Holmes,Wolfgang Huber Pdf Epub

Télécharger Modern Statistics for Modern Biology de Susan Holmes,Wolfgang Huber Pdf Ebook

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Auteur : Susan Holmes,Wolfgang Huber
Catégorie : Livres anglais et étrangers,Medicine,Research
Broché : * pages
Éditeur : *
Langue : Français, Anglais

If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. You can visualize and analyze your own data, apply unsupervised and supervised learning, integrate datasets, apply hypothesis testing, and make publication-quality figures using the power of R/Bioconductor and ggplot2. This book will teach you 'cooking from scratch', from raw data to beautiful illuminating output, as you learn to write your own scripts in the R language and to use advanced statistics packages from CRAN and Bioconductor. It covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component analysis and multidimensional scaling, clustering, multiple testing, unsupervised and supervised learning, resampling, the pitfalls of experimental design, and power simulations using Monte Carlo, and it even reaches networks, trees, spatial statistics, image data, and microbial ecology. Using a minimum of mathematical notation, it builds understanding from well-chosen examples, simulation, visualization, and above all hands-on interaction with data and code.

Télécharger Modern Statistics for Modern Biology de Susan Holmes,Wolfgang Huber Livres Pdf Epub

Introduction / Modern Statistics for Modern Biology ~ Introduction. The two instances of modern in the title of this book reflect the two major recent revolutions in biological data analyses:. Biology, formerly a science with sparse, often only qualitative data has turned into a field whose production of quantitative data is on par with high energy physics or astronomy, and whose data are wildly more heterogeneous and complex.

Home / Modern Statistics for Modern Biology ~ Modern Statistics for Modern Biology. Susan Holmes, Wolfgang Huber Chapters. Home. Book supplements; Introduction 1 Generative Models for Discrete Data 2 Statistical Modeling 3 High Quality Graphics in R 4 Mixture Models 5 Clustering 6 Testing 7 Multivariate Analysis 8 High-Throughput Count Data 9 Multivariate methods for heterogeneous data 10 Networks and Trees 11 Image data 12 Supervised .

Modern Statistics for Modern Biology / NHBS Bookstore ~ Modern Statistics for Modern Biology . Textbook Handbook / Manual. By: Susan Holmes (Author), Wolfgang Huber (Author) Publisher: Cambridge University Press. Click to have a closer look. ISBN: 9781108705295 Paperback Feb 2019 Usually dispatched within 6 days. £49.99 #245385 .

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Modern Statistics for Modern Biology: 9781108705295 ~ Modern Statistics for Modern Biology is not your typical statistics book in which you encounter pages of equations and mathematical proofs of the said equations, and, if you are lucky, some applications and examples in real world. Actually, this book contains almost no mathematical proofs. Now, some of you, my dear friends, may ask: what is the point of a Modern Statistics textbook without .

6 Testing / Modern Statistics for Modern Biology ~ 6 Testing. Hypothesis testing is one of the workhorses of science. It is how we can draw conclusions or make decisions based on finite samples of data. For instance, new treatments for a disease are usually approved on the basis of clinical trials that aim to decide whether the treatment has better efficacy compared to the other available options, and an acceptable trade-off of side effects.

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1 Generative Models for Discrete Data / Modern Statistics ~ 1 Generative Models for Discrete Data. In molecular biology, many situations involve counting events: how many codons use a certain spelling, how many reads of DNA match a reference, how many CG digrams are observed in a DNA sequence. These counts give us discrete variables, as opposed to quantities such as mass and intensity that are measured on continuous scales.

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Modern Statistics for the Life Sciences - Alan Grafen ~ Modern Statistics for the Life Sciences Alan Grafen and Rosie Hails. Teaches the reader the language of model formulae, universally employed by statisticians today, and found in all computer statistics packages. Employs General Linear Models (GLMs), powerful tools to analyse data using a large array of methods at the same time.

Modern Statistics for Modern Biology / Life Science ~ Modern Statistics for Modern Biology Collaborators: Susan Holmes & Wolfgang Huber. Background Synergies of modern biology and statistics. Biology has become a data-rich science. There are rapid developments of new technologies, and the data we can now gather about biological systems are large, heterogeneous and complex. We need to be able to efficiently explore the data and draw sound .

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2 Statistical Modeling / Modern Statistics for Modern Biology ~ 2.2 The difference between statistical and probabilistic models. A probabilistic analysis is possible when we know a good generative model for the randomness in the data, and we are provided with the parameters’ actual values. Figure 2.1: The probabilistic model we obtained in Chapter 1.The data are represented as \(x\) in green. We can use the observed data to compute the probability if .

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《Modern Statistics for Modern Biology》Chapter 三：R语言中的高质量图形 ~ 《Modern Statistics for Modern Biology》Chapter 一： 离散数据模型的预测（1.1 - 1.3） 《Modern Statistic.

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Full version Modern Statistics for Modern Biology Complete ~ This book will teach you 'cooking from scratch', from raw data to beautiful illuminating output, as you learn to write your own scripts in the R language and to use advanced statistics packages from CRAN and Bioconductor. It covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component analysis and multidimensional .

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